Dieter Hillert Knihy

The innovative element of this volume is its overview of the fundamental psycholinguistic topics involved in sentence processing. While most psycholinguistic studies focus on a single language and induce a general model of universal sentence processing, this volume proposes a cross-linguistic approach. It contains two distinct features first embraced in the 18th century by brothers Freiherr Wilhelm von Humboldt and Alexander von Humboldt. First, it offers a linguistic theory that characterizes universal cognitive features of the human language processor (or the mind and its biological source), independent of a single language structure. Second, it contains a language theory which considers the diversity of linguistic structures and provides a powerful theory of language processing. Contributors cover a wide range of topics, including word recognition, fixed expressions, grammatical constraints, empty categories, and parsing. Their research involves analyses of 12 languages. This book provides an overview of central psycholinguistic topics in sentence processing; and combines deductive and inductive methods in fashioning an innovative approach. The contributors address word recognition, fixed expressions, grammatical constraints, empty categories, and parsing. Its original papers form a coherent presentation.

Exploring the intricate relationship between language and thought, this book delves into how language shapes our understanding of the world. It examines various linguistic theories and the cognitive processes involved in language acquisition and use. By analyzing the interplay between language, culture, and society, the author highlights the significance of linguistic diversity and the impact of language on human experience. Engaging with both historical and contemporary perspectives, this work invites readers to reflect on the essence and evolution of human communication.

InhaltsverzeichnisThe Nature of Semantic and Morphosyntactic Context Effects on Word Recognition in Young Healthy and Aphasic Adults.Activation of the Lexical-semantic System in Right-brain-damaged Right-handers.Category-Specific Lexical Dissociations.Selective Impairments of Action Naming: Arguments and a Case Study.Some Remarks on Representational Aspects of Language Production.Spontaneous Language and Impairment of Communication in Alzheimer’s Disease.The Time Course of Lexical Activation in Fluent and Nonfluent Aphasia.Interactive/Activation in Normal and Brain-damaged Individuals: Can Context Penetrate the Lexical ‘Module’?.On Lexical Properties, Syntax, and Brain Damage.Morphological Deficits in Aphasia: Problems of Representation, Access or Integration?.On-line Integration of Grammatical Information in Wernicke’s and Broca’s Aphasia.The Neurological Organization of Lexical and Structural Operations in Sentence Comprehension: Findings and Methodological Considerations.Automatic Semantic Activation for Lexical Perception: Normal and Disordered Processing.The Authors.

Dieter Hillert untersucht, wie Bausteine der sprachlichen Evolution diskutiert werden können und wie sich diese in Bezug auf den modernen Menschen entwickelt haben. Insbesondere die hier vorgestellten neuronalen Kartierungsmethoden ermöglichen, wichtige Ergebnisse über die neuronalen Schaltkreise zu gewinnen, die an der Sprachverarbeitung beteiligt sind. Der Autor verdeutlich zudem kortikale Kartierungen sowohl bei typischem und als auch bei atypischem Sprachverhalten. Entsprechend wird aus diesen angesprochenen Perspektiven besprochen, wie sich unser Sprachvermögen evolutionär entwickelten hat, um beispielsweise Ideen, Gefühle, Ziele und Humor lautsprachlich vermitteln zu können. Das vorgestellte evolutionäre Sprachmodell beruht auf den kognitiven Fähigkeiten unserer biologischen Vorahnen.

InhaltsverzeichnisI Sprache, Wissen und Gehirn.1 Historischer Kontext.2 Methodologie.II Wörter und Konzepte.3 Phoneme und Grapheme.4 Lexeme und Vision.III Lexikon und Grammatik.5 Syntax und Morphemstruktur.6 Semantik und Argumentstrukturen.Perspektiven.Literatur.Autorenindex.Sachindex.